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Record W2111665737 · doi:10.12927/hcpap.2008.19709

Enabling Quality Improvement within Primary Healthcare through the CCHSA Accreditation Program

2008· letter· en· W2111665737 on OpenAlexvenueaboutno aff
Wendy Nicklin

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2008
Typeletter
Languageen
FieldHealth Professions
TopicHealthcare Quality and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAccreditationHealth careEquity (law)Public healthPopulation healthPrimary health carePrimary careHealth policyLibrary sciencePolitical scienceMedicineMedical educationFamily medicineNursing

Abstract

fetched live from OpenAlex

Progress is being made on the journey to strengthen primary healthcare within Canada. As an essential component of the healthcare continuum, primary healthcare must be more effectively linked and its role optimized for better patient/client outcomes to be realized. The Canadian Council on Health Services Accreditation (CCHSA) is an enabler to change and is committed to contributing to the strengthening of primary healthcare. During the first 20 years, the focus of CCHSA's accreditation process was on facility-based acute and long-term care. Since that time, accreditation standards have been established across a wide range of healthcare sectors and specialty areas. CCHSA's accreditation program will increasingly contribute to strengthening the essential and integral role of primary healthcare in the healthcare system.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.132
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.036
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0100.007
Scholarly communication0.0050.005
Open science0.0020.004
Research integrity0.0640.039
Insufficient payload (model declined to judge)0.0090.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.239
GPT teacher head0.469
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2008
Admission routes2
Has abstractyes

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